Title: CHILL: a system for fine-grained mapping of chained high impact long-latency load phases on tightly coupled heterogeneous multi-cores

Authors: Robert Chen; Glenn Reinman

Addresses: Department of Computer Science, University of California, Los Angeles, CA, USA ' Department of Computer Science, University of California, Los Angeles, CA, USA

Abstract: With increasing power and application demands, heterogeneous multi-core processors are becoming more prevalent. However, the key to proper utilisation of heterogeneous multi-cores is assigning, or mapping, the right application to the right core type. Recent work has shown that fine-grained mapping takes advantage of short program phases with highly variant performance requirements, and can elicit greater benefits from tightly coupled heterogeneous multi-cores. In this paper, we show that bottlenecks in performance can occur in fine-grained program phases during chains of high impact long-latency loads. We design a system that detects these bottleneck phases, and propose accelerating these phases on the out-of-order core for better performance and energy efficiency. Our system operates within 10% of performance, and 2.6% of energy to an oracle resource mapper. This translates to a 44.4% performance gain, and 9.2% energy savings over existing fine-grained mapping techniques.

Keywords: heterogeneous multi-cores; tightly coupled multi-cores; resource mapping; fine-grained mapping; fine-grained scheduling; bottleneck phases.

DOI: 10.1504/IJHPSA.2017.083641

International Journal of High Performance Systems Architecture, 2017 Vol.7 No.1, pp.1 - 14

Received: 03 Mar 2016
Accepted: 25 Oct 2016
Published online: 13 Apr 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article